Developing robot perception systems for handling objects in the real-world requires computer vision algorithms to be carefully scrutinized with respect to the expected operating domain. This demands large quantities of ground truth data to rigorously evaluate the performance of algorithms.
22 PAPERS • 1 BENCHMARK
Synthetic training dataset of 50,000 depth images and 320,000 object masks using simulated heaps of 3D CAD models.
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